Ratio between control and treatment siginificantly different than 1

I would like to know what kind of test I can use to verify my findings. In general I have a two group of people. One is a control group the other one was treated with a drug. After some period of time we collected samples from them (urine, blood, spit, etc...) and we calculated the ratio between some metabolites which can be found in those specific samples. The ratio was calculated for the metabolites grouped within the samples they were collected. For example:

Control:             Treatment:         Ratio:
Urine (Arginine)    / Urine (Arginine)   1.5
Urine (Proline)     / Urine (Proline)    1.2
Urine (Acid)        / Urine (Acid)       1.3

Blood (Tryptophane) / Blood (Tryptophane) 1.7
Blood (XX1)         / Blood (XX1)         1.3
Blood (XX2)         / Blood (XX2)         1.4


So I would like to know if a whole group (Blood, Urine, Spit) was significantly changed. I have at least 4 replicates for each of the metabolite/group. I would like to store all the ratios within replicates and perform a test which will tell me if the ratio is significantly changed to the one of the sides. What kind of a test can be used ?

• Why do you divide by the treatment results? Usually, we consider the results of the control group the "normal" ones and the treatment results in units of the normal level. (If might be intentional but nevertheless the most annoying errors in statistics are of the kind "I confused pre and post") – Horst Grünbusch Jan 30 '17 at 14:05

• Let's say that I pointed it wrong. I could not share my real example because of confidence reason. I would need to specify that patient belongs to both groups (control and treatment). This case involves clones... Sorry for leading you in wrong direction. Could you write a bit more about applying the test which you specifed ? Should I create a vector of number 1 with the same length as the ratios vector to perform t-test ? – Shaxi Liver Jan 30 '17 at 16:49